ArticleNature biotechnology2022
Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro.
Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
66 citing papers in PubMed, 96 citations in OpenAlex.
- Epigenetic pacemaker: A review of DNA methylation, histone lactylation, and non-coding RNAs in autoimmune skin diseases.Journal of translational autoimmunity · 2026Review
- Genome-wide profiling of histone modifications and transcription factor binding at single-cell resolution by DeChIC-seq.Cell research · 2026Article
- Phased fragility and stability of non-genetic B cell states in the germinal center accelerate the genetic evolution of antibodies.Cell systems · 2026Article
- Article
- PATTY corrects open-chromatin bias for improved bulk and single-cell CUT&Tag profiling.Nature communications · 2026Article
- Robust integration of single-cell datasets with imbalanced modality composition.Nature communications · 2026Article
- Histone Modifications in Cardiovascular Disease: Mechanisms and Therapeutic Opportunities.MedComm · 2026Review
- Sequential RNA polymerase II activation drives human hematopoiesis.Cell reports · 2026Article
- A hitchhiker's guide to single-cell epigenomics: Methods and applications for cancer research.International journal of cancer · 2026Review
- Advances in scCUT&Tag and computational analysis for single-cell gene regulatory element mapping.Briefings in bioinformatics · 2026Review
- A computational framework to dissect imputation strategies for single-cell histone modification data.NAR genomics and bioinformatics · 2025Article
- PATTY corrects open-chromatin bias for improved bulk and single-cell CUT&Tag profiling.Research square · 2025Article
- PATTY corrects open chromatin bias for improved bulk and single-cell CUT&Tag profiling.bioRxiv : the preprint server for biology · 2025Article
- Single-cell epigenomics and proteomics methods integrated in multiomics.Fundamental research · 2025Review
- Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.Molecular cancer · 2025Review
- Combinatorial profiling of multiple histone modifications and transcriptome in single cells using scMTR-seq.Science advances · 2025Article
- IT-scC&T-seq streamlines scalable, parallel profiling of protein-DNA interactions in single cells.Genome biology · 2025Article
- ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasets.Nature communications · 2025Article
- Integrating single-cell data with biological variables.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advances and applications in single-cell and spatial genomics.Science China. Life sciences · 2025Review
6 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Technologies that profile chromatin modifications at single-cell resolution offer enormous promise for functional genomic characterization, but the sparsity of the measurements and integrating multiple binding maps represent substantial challenges. Here we introduce single-cell (sc)CUT&Tag-pro, a multimodal assay for profiling protein-DNA interactions coupled with the abundance of surface proteins in single cells. In addition, we introduce single-cell ChromHMM, which integrates data from multiple experiments to infer and annotate chromatin states based on combinatorial histone modification patterns. We apply these tools to perform an integrated analysis across nine different molecular modalities in circulating human immune cells. We demonstrate how these two approaches can characterize dynamic changes in the function of individual genomic elements across both discrete cell states and continuous developmental trajectories, nominate associated motifs and regulators that establish chromatin states and identify extensive and cell-type-specific regulatory priming. Finally, we demonstrate how our integrated reference can serve as a scaffold to map and improve the interpretation of additional scCUT&Tag datasets.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.